The Georgetown Reading in Aging Neuroimaging Dataset (GRAND): Reading and multimodal MRI data in older adults

Anderson, E. J.; Staples, R.; Dyslin, S. M.; Chang, E. H. T.; Laks, A. B.; Dickens, J. V.; Mathur, D.; Paul, S.; Dvorak, E.; Turkeltaub, P.

doi:10.64898/2026.05.18.725986

bioRxiv · 10.64898/2026.05.18.725986

The Georgetown Reading in Aging Neuroimaging Dataset (GRAND): Reading and multimodal MRI data in older adults

Anderson, E. J.·Staples, R.·Dyslin, S. M.·Chang, E. H. T.·Laks, A. B.·Dickens, J. V.·Mathur, D.·Paul, S.·Dvorak, E.·Turkeltaub, P.

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Abstract

Reading is a critical skill in modern society. Most research on reading is conducted in school age children or young adults. However, acquired brain disorders often affect reading ability, and these disorders tend to occur in older adults. It is therefore critical to examine the normative distribution of reading behavior and the brain basis of reading in older adults. Here, we provide trial-wise single word and pseudoword oral reading and lexical decision data, as well as structural, functional, and diffusion-weighted MRI data from 116 neurotypical adults aged 22 to 84 years (mean = 59). Accuracy, response times, and errors are provided for corpora that are parametrically modulated in frequency, imageability, and regularity for real words and consistency of spelling-sound mapping for pseudowords. This dataset includes both minimally processed behavior (trial-wise data) and MRI data, and participant- and item-wise summary metrics and processed MRI data. These data serve both as a normative sample for reading behavior in older adults, but also as a valuable resource for identifying novel brain-behavioral relationships.

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Anderson, E. J., Staples, R., Dyslin, S. M., Chang, E. H. T., Laks, A. B., Dickens, J. V., Mathur, D., Paul, S., Dvorak, E., Turkeltaub, P.. 2026-05-21. The Georgetown Reading in Aging Neuroimaging Dataset (GRAND): Reading and multimodal MRI data in older adults. https://doi.org/10.64898/2026.05.18.725986

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